Research Summary We examined Seattle, Washington's Neighborhood Matching Fund (NMF), a unique neighborhood improvement program that provides city funding for projects organized within neighborhoods. We found an inverse relationship between NMF funding and violent crime rates, a relationship that is stronger in poorer neighborhoods. The relationship also is stronger as funds accumulate within the neighborhoods over time. These findings suggest that investment and neighborhood participation can have both short‐term and long‐term crime reduction effects. Policy Implications The Neighborhood Matching Fund program is associated with significant reductions in crime, even though the program and its projects are not aimed specifically at crime reduction. This observation suggests that policies that encourage neighbors to interact with each other and that facilitate interactions and physical improvements can help reduce crime by improving neighborhood conditions and social relationships. Investments in neighborhoods by the city also can help counteract the negative effects of private disinvestment.

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Purpose: Income inequality has been implicated as a potential risk to population health due to lower provision of healthcare services in deeply unequal countries or communities. We tested whether county economic inequality was associated with individual self-report of unmet healthcare needs using a state health survey data set.Methods: Adults residents of Ohio responding to the 2015 Ohio Medicaid Assessment Survey were included in the analysis. Ohio's 88 counties were classified into quartiles according to the Gini coefficient of income inequality. The primary outcome was a composite of self-reported unmet dental care, vision care, mental healthcare, prescription medication, or other healthcare needs within the past year. Unmet healthcare needs were compared according to county inequality quartile using weighted logistic regression.Results: The analytic sample included 37,140 adults. The weighted proportion of adults with unmet healthcare needs was 28%. In multivariable logistic regression, residents of counties in the highest (odds ratio [OR]=1.13, 95% confidence interval [CI]: 1.01–1.26; p=0.030) and second-highest (OR=1.16, 95% CI: 1.04–1.30; p=0.010) quartiles of income inequality experienced more unmet healthcare needs than residents of the most equal counties.Conclusion: Higher county-level income inequality was associated with individual unmet healthcare needs in a large state survey. This finding represents novel evidence for an individual-level association that may explain aggregate-level associations between community economic inequality and population health outcomes.

LTx recipients of working age exhibit exceptionally low employment rates. High local unemployment rates exacerbate low work participation after LTx, and may discourage job search in this population.

Background-Geographic disparities in survival after heart transplantation have received mixed support in prior studies, and specific geographic characteristics that might be responsible for these differences are unclear. We tested for differences in heart transplant outcomes across United States (US) counties after adjustment for individual-level covariates. Our secondary aim was to evaluate whether specific county-level socioeconomic characteristics explained geographic disparities in survival.